Genmo Mochi 1 is an open-source video generation model described as the world's best open video generation model. It focuses on delivering realistic, physically consistent motion, precise prompt adherence, and open-access tooling for researchers and developers.
Overview
Mochi 1 is presented as a research preview aimed at solving fundamental AI video challenges. It emphasizes high-quality motion, detailed control via textual prompts, and the capability to generate fluid human action and expression that avoid the uncanny valley.
Key Capabilities
- Unmatched motion quality: Realistic, physics-respecting motion with fine-grained detail.
- Superior prompt adherence: Detailed control over characters, settings, and actions aligned with textual prompts.
- Crosses the uncanny valley: Generates consistent, fluid human action and expressions.
- Open source: Mochi 1 is available on GitHub and HuggingFace for community collaboration and experimentation.
How to Use (Playground)
- Access the Mochi 1 Playground to experiment with video generation.
- Example prompt: "A movie trailer featuring the adventures of the 30 year old space man wearing a red wool knitted motorcycle helmet, blue sky, salt desert, cinematic style, shot on 35mm film, vivid colors."
- Use the playground to refine prompts, observe motion quality, and iterate on scenes.
Access & Resources
- Open source repositories: Mochi 1 on GitHub, Mochi 1 on HuggingFace
- Playground: Interactive environment to test and generate videos
- Pricing and terms: Available via product pages and terms of use
- Privacy policy: Details on data handling for open-source tooling
Careers
- Roles include Senior Frontend Engineer, Senior AI Performance Engineer, Research Scientist (post-training), Senior Full Stack Engineer, Finding Product Designer, and more. Check the site for open roles.
How It Works
- Users provide prompts describing characters, settings, and actions.
- The model generates video content that adheres to the prompt with high-quality motion and visuals.
- The open-source nature enables researchers to inspect, modify, and improve the underlying models.
Safety and Use Considerations
- As with any video generation tool, users should follow ethical guidelines and respect privacy and consent when creating or sharing generated content.
Feature Summary
- Open-source video generation model (Mochi 1) with GitHub and HuggingFace access
- High-quality, realistic motion that respects physics
- Superior prompt adherence for precise control over scenes and actions
- Consistent, fluent human action and expressions (aimed to avoid uncanny valley)
- Playground for interactive prompt-based video generation
- Prompt-based generation enabling flexible scene descriptions
- Community and career resources, including ongoing development and roles